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出版Cambridge University Press, 2022-12-08
主題Technology & Engineering / Signals & Signal ProcessingLanguage Arts & Disciplines / Library & Information Science / GeneralComputers / Distributed Systems / GeneralComputers / Software Development & Engineering / Systems Analysis & Design
ISBN11089022439781108902243
URLhttp://books.google.com.hk/books?id=PYadEAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering.